American Institute of Mathematics, Palo Alto, California
Mathias Drton and Seth Sullivant
Due to its importance to many applied fields there exists a considerable literature on the problem. For instance, in statistics and computer science, an active community working in an area referred to as 'causal inference' publishes formulas identifying a parameter as a function of a possibly only partially given covariance matrix/probability vector. However, despite its algebraic and combinatorial nature, it is only recently that the problem has attracted the attention of mathematicians.
The goal of this workshop is to bring together key researchers working in statistics, computer science, and discrete mathematics to formulate precise open problems and discuss approaches to their resolution using the machinery of algebraic geometry, commutative algebra, combinatorics, and symbolic computation.
The workshop schedule.
A report on the workshop activities.